جستجوی استاد راهنمای دانشگاهی

Jiatao Guمشاهده پروفایل

استادیار

• Machine Learning
• Generative Models
• 3D Generation
• +۳ مورد دیگر

Jiatao Gu is an Assistant Professor in the Department of Computer and Information Science (CIS) at the University of Pennsylvania, with a part-time role as Staff Research Scientist at Apple (MLR). He holds a Ph.D. in Electrical and Electronic Engineering from the University of Hong Kong (2018) and a B.Eng. in Electronic Engineering from Tsinghua University (2014). His research focuses on generative machine learning and AI agent interaction with the physical world, emphasizing multi-modal systems spanning language, images, videos, and 3D. Key themes include efficient modeling , flexible architecture design , and scalable decision-making frameworks . 2025: ICLR paper on DART framework 2024: TMLR work on GFlowNet alignment 2023: NeurIPS research on diffusion stability 2022: ACL papers on speech translation Recent publications explore diffusion models for text-to-image synthesis, 3D reconstruction, and efficient sampling techniques. His work addresses fundamental challenges in attention mechanisms, entropy collapse, and multi-stage distillation while advancing non-autoregressive translation and vision-language reasoning . Prospective students can apply through his recruitment process at UPenn. Prior affiliations include Meta AI (FAIR Labs) and academic collaborations with institutions like New York University's CILVR Lab.

Ruth Mosternمشاهده پروفایل

دانشیار

• World History
• Chinese History
• Spatial History
• +۵ مورد دیگر

Ruth Mostern is Associate Professor of History at the University of Pittsburgh and Director of the Institute for Spatial History Innovation (ISHI). She is Vice-President and President-Elect (2025-2026) of the World History Association and leads the award-winning World Historical Gazetteer project. Education Ph.D. in History, University of California, Berkeley, 2003 Research Interests Mostern is an interdisciplinary historian specializing in world, Chinese, environmental, and spatial history. She investigates long-term human–environment interactions at continental and millennial scales, focusing on how societies organize space, resources, and risk. Her work integrates GIS, digital gazetteers, and environmental science to reconstruct historical geographies of empire, water management, and ecological change. Current projects include: Place: A Global History – a study of itineraries, gazetteers, and databases as technologies of spatial knowledge. The Medieval Climate Anomaly and the Global Medieval Era – cultural adaptations to climate change c. 950-1250 CE. Research Trends Her recent publications span digital environmental humanities, historical GIS, Song-dynasty political economy, and pre-industrial Asian political ecology. A dominant theme is the coupling of state power with environmental transformation, exemplified by her 2021 book The Yellow River: A Natural and Unnatural History (Yale), winner of the 2023 Joseph Levenson Prize. Awards & Honors Joseph Levenson Prize, Association for Asian Studies, 2023 NEH Digital Humanities Advancement Grant, 2023-2025 Digital Humanities Awards 2021 – Best DH Tool (World Historical Gazetteer) Fudan University Fellowship for Studies of Chinese Civilization, 2019 NEH Humanities Connections Implementation Grant, 2018-2020 Chiang Ching-kuo Foundation Summer Institute Grant, 2015-2016 NSF Collaborative Research Grant, 2013-2015 ACLS Digital Innovation Fellowship, 2011-2012 Advising & Grants Mostern welcomes graduate students interested in environmental, global, Asian, or digital history. She has directed multiple externally funded projects, including the NSF-funded Center for Historical Information and Analysis and NEH-supported initiatives on water in Central Asia and global historical gazetteers. Labs & Teams She directs the Institute for Spatial History Innovation (ISHI) at the University of Pittsburgh, a hub for interdisciplinary research integrating spatial technologies with historical inquiry. ISHI hosts the World Historical Gazetteer , providing open tools and datasets that link knowledge about historical places across world regions.

Jiaqi Gongمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Smart and Connected Health
• Cyber-Physical Systems
• +۱۳ مورد دیگر

Dr. Jiaqi Gong serves as Associate Professor in Computer Science and Adjunct Associate Professor in Mechanical Engineering at The University of Alabama's College of Engineering, while directing the Alabama Center for the Advancement of Artificial Intelligence. His academic foundation includes: B.S. in Engineering, China University of Geoscience (2004) Ph.D. in Engineering, Huazhong University of Science and Technology (2010) Dr. Gong's research pioneers human-AI convergence through cyber-physical systems and smart health technologies, developing mobile/wearable platforms to enhance human perceptual, cognitive, and physical capabilities. His work spans artificial intelligence, machine learning, computer vision, and IoT with applications in healthcare, environmental monitoring, and education. The Sensor-Accelerated Intelligent Learning (SAIL) laboratory he founded drives innovation in behavior change interventions, human movement modeling, and educational data mining. Recent publications reveal strong interdisciplinary trends: healthcare AI dominates with medication adherence prediction and surgical classification systems, while environmental applications feature flood-risk communication and drought analysis. His work increasingly integrates generative AI and LLMs across domains, demonstrating methodological innovation in federated learning, knowledge graphs, and explainable storytelling frameworks. Notable recognitions include: Best Student Paper Award, IEEE/ACM Connected Health Conference (2022) Best Student Paper Award, Body Sensor Networks Conference (2019) Data Challenge Win, IEEE Biomedical Health Informatics (2018) Best Paper Award, Body Area Networks Conference (2014) Best Demonstration Award, IEEE Wireless Health Conference (2014) Dr. Gong leads significant funded projects including a $2M CDC/NIOSH grant for first responder safety and $3M NSF funding for hydrologic research. As SAIL laboratory director, he mentors students in developing clinically deployed technologies for multiple sclerosis, dementia, and mental health. Future work focuses on scaling AI applications in chronic disease management and climate resilience through the Alabama AI Center. The SAIL laboratory (founded 2017) operates as a multidisciplinary hub developing wearable/mobile systems for health applications, with active collaborations across medical clinics and engineering departments for real-world deployment of behavior change interventions and movement analysis tools.

• Sports Medicine
• Orthopaedic Surgery
• Anterior Cruciate Ligament (ACL) Injuries
• +۷ مورد دیگر

Dr. Christina Allen is a Professor of Orthopaedics & Rehabilitation at Yale School of Medicine, where she serves as Chief of Yale Sports Medicine and Vice Chair of Athletic Medicine and Community Outreach. She is the Orthopaedic Team Physician for Yale Athletics and has extensive experience with U.S. national teams, including U.S. Soccer and USA Taekwondo. Education: BS in Biomedical Engineering, Duke University (1983); MD, UCLA School of Medicine (1995) Training: Orthopaedic Residency and Sports Medicine Fellowship, University of Pittsburgh Research Interests focus on: Revision ACL reconstruction outcomes and predictors Meniscus transplantation and cartilage repair Proximal hamstring avulsion repair Quantitative MRI for joint kinematics and cartilage changes Post-ACL revision infection risk factors Scientific Awards include: Kappa Delta Ann Doner Vaughn Award (2019) NIH R01 Competitive Renewal Grant (2017) AOSSM O’Donoghue Award (2014) Clinical Roles span: Team physician for U.S. Soccer (Women's/Men's National Teams) Former team physician for San Francisco Deltas (NASL Champions 2017) Medical Board member, World Taekwondo (London Olympics 2012, Rio Olympics 2016) Publications highlight a 20-year longitudinal focus on: Machine learning models for surgical outcome prediction Graft choice impact on revision ACL longevity Cartilage degeneration after meniscectomy Biomechanical MRI analysis of joint kinematics Infection rates in revision surgeries Return-to-sport protocols for athletes

Shiyu Changمشاهده پروفایل

دانشیار

• Machine Learning
• Natural Language Processing
• Computer Vision
• +۴ مورد دیگر

Shiyu Chang is an Associate Professor in the Department of Computer Science at the University of California, Santa Barbara , focusing on machine learning with applications in natural language processing and computer vision . He previously worked as a research scientist at the MIT-IBM Watson AI Lab alongside Prof. Regina Barzilay and Prof. Tommi Jaakkola, and earned both his B.S. and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign , advised by Prof. Thomas S. Huang. Education : PhD, University of Illinois at Urbana-Champaign BS, University of Illinois at Urbana-Champaign His research centers on enhancing AI systems through human-AI interaction , aiming to improve interpretability , transferability , and adversarial robustness in LLMs. Recent work includes LLM watermarking defense , uncertainty decomposition , and self-denoised smoothing for model robustness. His publications span premier venues like ICML , NeurIPS , CVPR , and ACL , with recurring themes in diffusion models , LLM optimization , and ethical AI (e.g., hallucination detection, unlearning frameworks). He actively mentors students, several of whom are marked as advisees (☆) in his publications.

Anastassios Karistinosمشاهده پروفایل

استادیار

• Orthopedic Surgery
• Sports Medicine
• Knee Surgery
• +۳ مورد دیگر

Anastassios Karistinos, M.D., is an Assistant Professor in the Department of Orthopedic Surgery at Baylor College of Medicine. He holds clinical roles at Ben Taub Hospital, Baylor Clinic, and the Michael E. DeBakey VA Medical Center in Houston, Texas. Dr. Karistinos completed his medical degree (MD) at Aristotle University of Thessaloniki (1993), followed by residency at Louisiana State University Health Sciences Center (2005) and a fellowship in Advanced Orthopaedics and Sports Medicine (2005). His professional interests focus on complex musculoskeletal conditions including multi-ligament knee injuries, meniscal transplantation, cartilage restoration techniques (OATS, ACI), knee osteotomies, shoulder instability, rotator cuff injuries, and shoulder arthroplasty. He emphasizes patient safety and critical evaluation of emerging medical technologies, prioritizing evidence-based treatments. Dr. Karistinos is certified by the American Board of Orthopaedic Surgery in both Orthopaedic Surgery and Orthopaedic Sports Medicine. He is a Fellow of the American Academy of Orthopaedic Surgeons and specializes in sports medicine, arthroscopic surgery, and trauma care. His research integrates anatomical insights with clinical outcomes to improve surgical techniques and patient recovery processes.

Erkut Erdemمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Visual Saliency Prediction
• +۵ مورد دیگر

Erkut Erdem is a Professor in the Department of Computer Engineering at Hacettepe University, where he leads the Computer Vision Laboratory (HUCVL). His research focuses on computer vision and machine learning, particularly on incorporating different kinds of context (spatial, temporal and cross-modal) into visual processing across all levels from low to high-level vision. He received his Ph.D. (2008), M.Sc. (2003), and B.Sc. (2001) from Middle East Technical University. Prior to joining Hacettepe University in 2010, he completed a post-doctoral fellowship at Ecole Nationale Supérieure des Télécommunications (2009-2010) and held visiting researcher positions at UCLA (2007) and Virginia Tech (2004). His current research interests include Visual Saliency Prediction, Automatic Image Description, Video/Photoset Summarization, Image Filtering, and Image Editing. Recent work has focused on multimodal learning with video-language models, diffusion-based image editing, and event-based vision for low-light conditions. His research has been published in top venues including NeurIPS, ICLR, ICCV, SIGGRAPH, and ACL. He has received significant recognition including The Young Researcher Award from Turkish Academy of Sciences and being named a 2022 Outstanding Associate Editor of IEEE Transactions on Multimedia. He has secured multiple research projects funded by TUBITAK and received gift funds from Adobe Research for text-guided image synthesis work. Current Teaching: BBM202: Algorithms, AIN434/BBM444: Fundamentals of Computational Photography Graduate Supervision: 6 current Ph.D. students, numerous recent graduates including Burak Ercan (2024) and Aysun Kocak (2023) Professional Affiliations: Co-affiliated with Koç University and İş Bank AI Center (KUIS AI)

Jeanne Moskalمشاهده پروفایل

استاد

• British Literature from 1789 to 1900
• Critical Theory and Cultural Studies
• History of the Book
• +۷ مورد دیگر

Professor Jeanne Moskal holds a faculty position in the Department of English and Comparative Literature at the University of North Carolina at Chapel Hill. She specializes in 18th- and 19th-century British literature, critical theory, and the intersection of literature with religion, medicine, and science fiction. Her research includes seminal works on Mary Shelley, including editing Shelley’s travel writings for the definitive edition of her works, and co-editing Teaching British Women Writers, 1750-1900 . Education: 1984 PhD English, University of Washington, Seattle 1982 MA English, University of Washington, Seattle 1978 BA English, Santa Clara University Her current research project, Secularization & Jane Eyre, 1930-2000 , explores how adaptations of Charlotte Brontë’s novel reflect 20th-century secularization debates. She has curated notable exhibitions, including the 2018 Reconstructing Frankenstein’s Monster at UNC’s Wilson Library. Teaching and Mentoring: A屡获殊荣的导师，她指导了13名博士生，其中9人获得终身教职或终身教职轨道职位。 Her teaching portfolio includes courses on Jane Austen, science fiction, Romanticism, and post-secularism theory. Research Grants: 2005/06 NEH Fellowship for University Teachers 2007 ACLS Course Development Grant 2014 Mellon Foundation Book Manuscript Workshop Awards: 2016 UNC最高教学奖终身成就奖 2013 Carolina Women’s Leadership Council研究生指导奖

Allyson Nadia Fieldمشاهده پروفایل

دانشیار

• Black cinema
• silent cinema
• non-extant film
• +۸ مورد دیگر

Allyson Nadia Field is an Associate Professor in the Department of Cinema and Media Studies and affiliated with The College at the University of Chicago. She is also an Affiliated Faculty member at the Center for the Study of Race, Politics, and Culture and the Center for the Study of Gender and Sexuality. Ph.D., Harvard University Her research explores African American cinema, silent film, and archival studies. She focuses on how cinema shapes race and gender representation, particularly in nontheatrical and nonextant films. Her work bridges film form, media theory, and cultural analysis. Field’s recent publications examine archival rediscovery, speculative methodologies in film history, and the legacy of early Black filmmakers. She co-edited projects on the L.A. Rebellion and nontheatrical film, emphasizing Black feminist curation and institutional critique. 2024-2025 NEH Public Scholars Grant 2020-2021 ACLS/Burkhardt Fellowship 2019 Academy Film Scholar 2021 National Film Preservation Board appointee She has organized major exhibitions, including the 2023 Sojourner Truth Festival of the Arts, and currently co-edits a collection on the visual afterlives of slavery. Her teaching includes courses on silent cinema, experimental film, and archival theory.

Anthony A Gattiمشاهده پروفایل

پژوهشگر ارشد

• Biomechanics
• Medical Imaging
• Machine Learning
• +۷ مورد دیگر

Anthony A Gatti is a Postdoctoral Scholar at Stanford University's Wu Tsai Human Performance Alliance and School of Medicine. His research integrates biomechanics , medical imaging , and machine learning to advance musculoskeletal health diagnostics, particularly focusing on knee osteoarthritis and exercise physiology. Education : Ph.D. in Rehabilitation Science (McMaster University, 2021), M.Sc. in Rehabilitation Science (McMaster University, 2015), B.Sc. in Kinesiology (McMaster University, 2013) His research develops automated tools for quantifying knee anatomy and integrating anatomical data with biomechanical models . These methods analyze acute responses to exercise and long-term joint degeneration, leveraging MRI , deep learning , and statistical shape modeling . Recent publications emphasize AI-driven segmentation , exercise-induced cartilage changes , and biomechanical simulations , spanning journals like Magnetic Resonance in Medicine and Arthritis & Rheumatology . Trends include machine learning validation for clinical predictions and open-source tool development for musculoskeletal analysis. Scientific Awards : CIHR Postdoctoral Fellowship (top 1%), Mitacs Accelerate Entrepreneur, Forge Student Start-Up Competition Winner, multiple scholarships from McMaster University He founded NeuralSeg , a company commercializing deep learning-based MRI segmentation technology. Collaborations include Stanford's Digital Athlete Moonshot Project with advisors like Scott Delp and Garry Gold.

William H. Nienhauser, Jr.مشاهده پروفایل

استاد

• Classical Chinese Literature
• Early Traditional Chinese Fiction
• Chinese Historiography
• +۸ مورد دیگر

William H. Nienhauser, Jr. is the Halls-Bascom Professor of Classical Chinese Literature in the Department of Asian Languages and Cultures at the University of Wisconsin–Madison, College of Letters and Science. He is a leading authority on early Chinese literature, historiography, and poetry, with a particular focus on Sima Qian’s Shiji and the poetry of Du Fu. He has held visiting and research positions in China, Japan, Germany, and Taiwan, and remains academically active, including a 2018 appointment as Visiting Professor at Nankai University. His research interests include early traditional Chinese fiction, historiography, chuanqi and zhiguai tales, and the application of modern Western critical theories to Chinese literary texts. He is deeply engaged in the translation and annotation of classical works, especially the Shiji , often in collaboration with graduate students. His scholarship bridges philology, literary theory, and historical contextualization, contributing significantly to the global understanding of pre-modern Chinese literature. Nienhauser’s publications reveal a sustained focus on textual analysis, narrative structure, and the interplay between history and literature. His work spans from early Shijing poetry to Tang dynasty fiction, with a strong emphasis on Sima Qian’s historiographical methods and legacy. He has also contributed foundational reference works and critical editions, shaping the field of Chinese literary studies. His scientific awards reflect the international recognition of his scholarship: Woodrow Wilson Fellowship ACLS Fellowship NEH Fellowship Fulbright-Hayes Fellowship Japan Foundation Fellowship German Research Foundation Fellowship Alexander von Humboldt Foundation Fellowship Humboldt Foundation Lifetime Achievement Award (2003) Nienhauser has advised numerous graduate students in collaborative research projects, particularly on the Shiji and Du Fu. He has secured major fellowships and grants from prestigious organizations including the NEH, ACLS, Fulbright-Hayes, and the Humboldt Foundation, enabling extended research and translation work. His editorial roles, especially as a founding editor of Chinese Literature: Essays, Articles, Reviews (CLEAR), have been instrumental in advancing the field. While no formal lab or research center is mentioned, Nienhauser leads a major international collaborative translation project on the Shiji , involving scholars and students across institutions. His seminars and graduate courses foster a close-knit research community focused on classical Chinese texts.

Rebecca A. Kobrinمشاهده پروفایل

دانشیار

• immigration history
• urban studies
• business history
• +۳ مورد دیگر

Rebecca A. Kobrin serves as the Russell and Bettina Knapp Associate Professor of American Jewish History at Columbia University, actively contributing to scholarship and pedagogy as of 2025. Her research bridges immigration history, urban studies, and Jewish diaspora studies, with leadership in the award-winning Historical NYC Project that digitally reconstructs New York City's demographic evolution from 1850 to 1940. Her academic credentials include: Ph.D. from the University of Pennsylvania (2002) M.S. Ed. from University of Pennsylvania, School of Education (2000) M.A. from University of Pennsylvania (1995) B.A. from Yale University (1994) Professor Kobrin's research interrogates the socioeconomic dimensions of East European Jewish migration through interdisciplinary lenses, examining financial networks, urban spatial dynamics, and transnational philanthropy. Her work reveals how immigrant communities navigated economic vulnerability while maintaining diasporic connections, particularly through landsmanshaftn (mutual aid societies) and cross-border capital flows. Digital humanities methodologies enhance her analysis of urban settlement patterns and demographic shifts. Her scholarly output demonstrates consistent focus on Jewish immigrant economic agency, with recurring themes of financial failure, gendered household economies, and diaspora responses to geopolitical upheavals like the 1905 Russian Revolution. Publications frequently analyze Yiddish press representations of Eastern European cities and transnational philanthropy during interwar crises. Major recognitions include: Jordan Schnitzer Prize (2012) for Jewish Bialystok and Its Diaspora Columbia University’s Lenfest Distinguished Faculty Award (2015) American Jewish Historical Society’s Wasserstein Prize (2013) Shoah Foundation Teaching Award (2012) National Jewish Book Awards Finalist (2010) Professor Kobrin’s mentorship earned Columbia’s Lenfest Award for graduate student guidance, supported by fellowships from the American Philosophical Society, ACLS, and Fulbright programs. Her current flagship initiative—the Historical NYC Project—secures multidisciplinary funding to visualize urban transformation through interactive cartography. As principal investigator, she directs collaborative research integrating historical archives with spatial analysis. The Historical NYC Project team unites historians, data scientists, and cartographers in creating an acclaimed digital platform mapping New York City’s demographic metamorphosis across 90 years, revealing how immigrant communities reshaped urban landscapes through settlement patterns and institutional development.

• Chinese Bronze Age
• Shang Dynasty
• Ancient East Asian History
• +۴ مورد دیگر

Roderick B. Campbell is a Professor of East Asian Archaeology and History at the Institute for the Study of the Ancient World (ISAW) within New York University. His research focuses on the Chinese Bronze Age, particularly the Anyang period (ca. 1250-1050 BCE), exploring themes such as violence in early complex polities, historiography, visual culture, and ancient economies. He holds a dual PhD from Harvard University in Anthropology (Archaeology) and East Asian Languages and Civilizations (Chinese History). Professor Campbell has held post-doctoral positions at ISAW (NYU), Brown University’s Joukowsky Institute, and Merton College (Oxford University). He has secured grants and fellowships from organizations including the Canadian Social Sciences and Research Council, Luce-ACLS, the Chiang Ching-kuo Foundation, and the Wenner Gren Foundation. His fieldwork involves collaborative archaeological projects in China focusing on reconstructing Shang political economy, with a current emphasis on zooarchaeology and bone-working practices. He serves on NYU’s PhD Admissions Committee and has authored or edited works such as Violence, Kinship and the Early Chinese State (2018) and Archaeology of the Chinese Bronze Age (2014). His research spans interdisciplinary topics including Shang ontology, early Chinese economies, and comparative studies of complex societies. Campbell’s work bridges archaeological material analysis with historical interpretation to illuminate the socio-political dynamics of ancient East Asia.

Xun Liuمشاهده پروفایل

دانشیار

• Chinese History
• Daoism
• Religious History
• +۴ مورد دیگر

Xun Liu is an Associate Professor of History at Rutgers University , specializing in the history of Daoism in Late Imperial and Modern China . Affiliated with the School of Arts and Sciences , Liu's research explores the interplay between Daoist temples, local society, and state modernization efforts in Nanyang, central China, from the 17th century to the present. Research Focus: Liu's work bridges Chinese history , religious studies , and urban sociology . Key themes include: Daoist temples as cultural and social institutions Neidan (inner alchemy) practices in urban settings State-religion dynamics during modernization Material culture and female piety in Daoism Recent Publications: His scholarship analyzes Daoism's adaptation to Republican-era Shanghai print culture, Qing military collaborations in Nanyang, and 20th-century spiritual travel narratives. Articles appear in Harvard Journal of Asiatic Studies , T’oung Pao , and Late Imperial China . Awards: Recognized with grants from the Chiang Ching-Kuo Foundation , ACLS , and CNRS , Liu has held prestigious fellowships at Harvard University and UC Berkeley.

Levi J Hargroveمشاهده پروفایل

دانشیار

• Signal Processing
• Pattern Recognition
• Myoelectric Control
• +۳ مورد دیگر

Levi J Hargrove is an Associate Professor at Northwestern University, holding dual appointments in the Department of Physical Medicine and Rehabilitation at the Feinberg School of Medicine and the Department of Biomedical Engineering at the McCormick School of Engineering. He is also a Research Scientist at the Center for Bionic Medicine at Shirley Ryan AbilityLab. His work focuses on developing neural control systems for prosthetic limbs, particularly in myoelectric control and pattern recognition, aiming to create clinically viable solutions for amputees. Education: BScE in Electrical Engineering, University of New Brunswick, 2003 MScE in Electrical Engineering, University of New Brunswick, 2005 PhD in Electrical Engineering, University of New Brunswick, 2008 Research Interests: Signal processing, pattern recognition, myoelectric control of powered prostheses, and neural interfaces for bionic limbs. His lab translates research into clinical applications, such as the first thought-controlled bionic leg and Coapt LLC's pattern recognition systems for upper-limb prosthetics. Awards: 2017 American Academy of Orthotists and Prosthetists Research Award 2014 Department of Defense Outstanding Research Team Award 2015 Collaboration Award from Chicago Innovation Grants: Manages a $25 million portfolio from federal, military, and philanthropic sources. Key projects include NSF-funded research on human-robot interaction and DoD grants for prosthetic innovation. Labs: Leads the Regenstein Foundation Center for Bionic Medicine and collaborates with the Neurorehabilitation and Neural Engineering Lab. His work emphasizes translational research, bridging engineering and clinical practice.